Evaluation of the potential index model to predict habitat suitability of forest species: the potential distribution of mountain pine (Pinus uncinata) in the Iberian peninsula

Tomás Mezquida, Eduardo and Rubio Sánchez, Agustín and Sánchez Palomares, Otilio (2010). Evaluation of the potential index model to predict habitat suitability of forest species: the potential distribution of mountain pine (Pinus uncinata) in the Iberian peninsula. "European Journal of Forest Research", v. 129 (n. 1); pp. 133-140. ISSN 1612-4669. https://doi.org/10.1007/s10342-009-0275-5.

Description

Title: Evaluation of the potential index model to predict habitat suitability of forest species: the potential distribution of mountain pine (Pinus uncinata) in the Iberian peninsula
Author/s:
  • Tomás Mezquida, Eduardo
  • Rubio Sánchez, Agustín
  • Sánchez Palomares, Otilio
Item Type: Article
Título de Revista/Publicación: European Journal of Forest Research
Date: January 2010
ISSN: 1612-4669
Volume: 129
Subjects:
Freetext Keywords: Forest managers _ Habitat suitability _ Potential distribution maps _ Potential index model _ Statistical modelling
Faculty: E.T.S.I. Montes (UPM)
Department: Silvopascicultura [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Characterization of the suitability or potentiality of a territory for forest tree species is an important source of information for forest planning and managing. In this study, we compared a relatively simple methodology to generate potential habitat distribution areas that has been traditionally used in Spain (the potential index model) with a statistical modelling approach (generalized linear model). We modelled the potential distribution of mountain pine (Pinus uncinata) in the Iberian peninsula as a working example. The potential index model generated a map of habitat suitability according to the values of an index of potentiality, whose distribution has usually divided into four categories based on quartiles (from optimum to low suitability). Considering all values of the index of potentiality as presences of mountain pine resulted in a low to moderate degree of agreement between the potential index model and the generalized linear model according to the kappa coefficient. Using the cut-off value of the index of potentiality that maximized the degree of agreement between both modelling approaches resulted in a substantial similarity between the maps of the predicted distribution of mountain pine. This cut-off value did lie in the upper-third quartile of the potential index distribution (high suitability category), and roughly coincided with the upper 30th percentile. The use of statistical techniques, which have proved to be powerful and versatile for species distribution modelling, is recommended. However, the potential index model, together with the adjustments proposed here, could be a reasonably simple methodology to predict the potential distribution of forest tree species that forest managers should take into account when evaluating forestation and afforestation projects.

More information

Item ID: 2935
DC Identifier: http://oa.upm.es/2935/
OAI Identifier: oai:oa.upm.es:2935
DOI: 10.1007/s10342-009-0275-5
Official URL: http://www.springerlink.com/content/t2w3k2j62qj51344/fulltext.pdf
Deposited by: Memoria Investigacion
Deposited on: 05 May 2010 11:46
Last Modified: 20 Apr 2016 12:33
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